Abstract: One or more undesired objects can be detected in a restricted zone at worksite. In one example, a base station is configured to be placed in or around the restricted zone. The base station includes a housing, a sensor suite, and a base station controller. The sensor suite is configured to detect one or more undesired object in a subzone at least partially overlapping with the restricted zone and generate an output signal based on the undesired object. The subzone is limited by a range of detection from the sensor suite. The base station controller can receive the output signal from the sensor suite and transmit an alert signal. A warning indicator can receive the alert signal and activate in response to receiving the alert signal. The warning indicator can be positioned on the base station or on a mobile device located remote from the base station.

Abstract: A volume of contents in a container of a work vehicle can be estimated in various examples. One example involves a system with a 3D sensor on a work vehicle, where the sensor captures images of a material in a container of the work vehicle. A processor device that is in communication with the 3D sensor determines a volume of the material in the container using the images.

Abstract: An example work machine control system may include cost factor logic to obtain a cost factor for a resource, cost variable logic to obtain a consumption signal from a consumption sensor indicative of consumption of the resource, fill measurement logic configured to receive a fill signal from a fill sensor, the fill signal indicative of a fill state of a container of an earth-moving work machine, fill target logic to determine a target fill level for the container based on the cost factor, the consumption signal and the fill signal and control logic to generate a machine control signal based on the target fill level.

Abstract: An example work machine control system includes target fill level determination logic configured to determine a target fill level for a container of an earth-moving work machine, fill level measurement logic configured to receive a sensor signal from a sensor that detects contents of the container and generate a measurement metric indicative of a current fill level of the container based on the sensor signal, and control logic configured to generate a machine control signal based on the measurement metric and the target fill level.

Abstract: A volume of contents in a container of a work vehicle can be estimated in various examples. One example involves a system with a 3D sensor on a work vehicle, where the 3D sensor captures images of the contents in a container of the work vehicle. The system also includes a sensor for detecting an angle of the container. A processor device that is in communication with the 3D sensor and the sensor determines a volume of the contents in the container using the images and the angle.

Abstract: Methods and apparatus to track a blade are disclosed. A disclosed example apparatus includes a blade that is pivotable, first and second optical targets operatively coupled to the blade, and a first camera for collecting first imaging data of the first optical target within a first field of view. The example apparatus also includes a second camera for collecting second imaging data of the second optical target within a second field of view. The example apparatus also includes a selector to select at least one of the first or second imaging data, and a processor to determine an orientation of the blade based on the selected imaging data.

Abstract: A mobile work machine includes a frame and a ground engaging element movably supported by the frame and driven by an engine to drive movement of the mobile work machine. The mobile work machine also includes a container movably supported by the frame and an actuator configured to controllably drive movement of the container relative to the frame. The work machine also includes a control system configured to generate an actuator control signal, indicative of a commanded movement of the actuator, and provide the actuator control signal to the actuator to control the actuator to perform the commanded movement and an image sensor coupled to the mobile work machine, the image sensor being configured to capture an image of the container. The work machine also includes an angle determination system, communicatively coupled to the control system, configured to determine an angle of the container relative to the image sensor, based on the image of the container.

Abstract: Methods and apparatus to track a blade are disclosed. A disclosed example apparatus includes a blade that is pivotable, first and second optical targets operatively coupled to the blade, and a first camera for collecting first imaging data of the first optical target within a first field of view. The example apparatus also includes a second camera for collecting second imaging data of the second optical target within a second field of view. The example apparatus also includes a selector to select at least one of the first or second imaging data, and a processor to determine an orientation of the blade based on the selected imaging data.

Abstract: A mobile work machine includes a frame and a ground engaging element movably supported by the frame and driven by an engine to drive movement of the mobile work machine. The mobile work machine includes a container movably supported by the frame, the container configured to receive contents and an actuator configured to controllably drive movement of the container relative to the frame. The mobile work machine includes a control system configured to generate an actuator control signal, indicative of a commanded movement of the actuator, and provide the actuator control signal to the actuator to control the actuator to perform the commanded movement and a content density determination system, communicatively coupled to the control system, configured to determine a density of the contents of the container.

Abstract: A vehicle grade control system and method of controlling an implement position of a motor grader moving along a path of a surface. The motor grader includes a frame supported by wheels and an implement adjustably coupled to the frame. The control system includes a processor and a memory configured to receive a grade target to grade the surface to a desired grade with the implement based on the grade target. Surface irregularities of the surface in a path of the motor grader are located. An angle of the frame is determined based on the located surface irregularities and a difference between the identified angle of the frame and the grade target is determined. A position of the implement with respect to the frame based on the determined difference is identified and the surface is graded with the identified position of the implement.

Abstract: A vehicle grade control system and method of controlling an implement position of a motor grader moving along a path of a surface. The motor grader includes a frame supported by a ground engaging traction device and an implement adjustably coupled to the frame. The control system includes a processor and a memory configured to receive a grade target to grade the surface to a desired grade with the implement, based on the grade target. A front image sensor provides images of a front surface profile, an implement image sensor provides images of collected surface material on the implement, and a rear image sensor provides images on a rear surface profile. The surface is graded by adjusting a position of the implement based on the images provided by each of the front image sensor, the implement image sensor, and the rear image sensor.

Abstract: A mobile work machine includes a frame and a ground engaging element movably supported by the frame and driven by an engine to drive movement of the mobile work machine. The mobile work machine also includes a container movably supported by the frame and an actuator configured to controllably drive movement of the container relative to the frame. The work machine also includes a control system configured to generate an actuator control signal, indicative of a commanded movement of the actuator, and provide the actuator control signal to the actuator to control the actuator to perform the commanded movement and an image sensor coupled to the mobile work machine, the image sensor being configured to capture an image of the container. The work machine also includes an angle determination system, communicatively coupled to the control system, configured to determine an angle of the container relative to the image sensor, based on the image of the container.

Abstract: Work machines and methods and systems to control and determine a position of an associated implement are disclosed. An example work machine including a first vehicle component movable relative to a second vehicle component; and a processor to: cause the first vehicle component to move toward a commanded position; predict a first position of the first vehicle component of the work machine using first processes; determine a second position of the first vehicle component using second processes; and in response to a difference between the first position and the second position, to cause the first vehicle component to move further toward the commanded position to correct for the difference.

Abstract: Work machines and methods and systems to control and determine a position of an associated implement are disclosed. An example work machine including a first vehicle component movable relative to a second vehicle component; and a processor to: cause the first vehicle component to move toward a commanded position; predict a first position of the first vehicle component of the work machine using first processes; determine a second position of the first vehicle component using second processes; and in response to a difference between the first position and the second position, to cause the first vehicle component to move further toward the commanded position to correct for the difference.

Abstract: Disclosed herein is a diagnostic module configured to determine an average image of a set or a sequence of collected images, to obtain a last image of the set or the sequence of collected images, and to determine a difference between the average image and the last image to yield a differenced image. Background image data or background pixels are eliminated from the differenced image to produce an initial image mask of unchanged content in the last image. A diagnostic module or data processor determines a mask area of the initial image mask or a revised image mask derived from the initial image mask. A diagnostic module or data processor generates an alert data message to inspect or clean the imaging system if the mask area exceeds a threshold area.

Abstract: A volume of contents in a container of a work vehicle can be estimates. For example, a system can include a 3D sensor on a work vehicle. The 3D sensor can capture multiple images of contents in a container of the work vehicle. The system can also include a sensor for detecting an angle of the 3D sensor with respect to a position of the container for at least some of the images. A processor device can be in communication with the 3D sensor and the sensor. A memory device can include instructions executable by the processor device for causing the processor device to determine a volume of the contents in the container using the images and the angle.

Abstract: Disclosed herein is a system for evaluating agricultural material which comprises, in one embodiment, a housing having a passage in or through an interior of the housing with an inlet for receiving agricultural material and an outlet for outputting the agricultural material. The system further comprises a wall opening in a wall of the passage. An imaging device having a lens is located inward from a border of the imaging device. The imaging device is pivotally mounted for rotation with respect to a housing such that in a closed state the border of the imaging device rests on, engages or interlocks the wall opening of the housing, and in an open state the border exposes the wall opening and an interior of the housing.

Abstract: Methods and apparatus to track a blade are disclosed. A disclosed example apparatus includes a blade that is pivotable, first and second optical targets operatively coupled to the blade, and a first camera for collecting first imaging data of the first optical target within a first field of view. The example apparatus also includes a second camera for collecting second imaging data of the second optical target within a second field of view. The example apparatus also includes a selector to select at least one of the first or second imaging data, and a processor to determine an orientation of the blade based on the selected imaging data.

Abstract: Disclosed herein is a system for evaluating agricultural material which comprises, in one embodiment, a housing having a passage in or through an interior of the housing with an inlet for receiving agricultural material and an outlet for outputting the agricultural material. The system further comprises a wall opening in a wall of the passage. An imaging device having a lens is located inward from a border of the imaging device. The imaging device is pivotally mounted for rotation with respect to a housing such that in a closed state the border of the imaging device rests on, engages or interlocks the wall opening of the housing, and in an open state the border exposes the wall opening and an interior of the housing.

Abstract: Disclosed herein is a diagnostic module configured to determine an average image of a set or a sequence of collected images, to obtain a last image of the set or the sequence of collected images, and to determine a difference between the average image and the last image to yield a differenced image. Background image data or background pixels are eliminated from the differenced image to produce an initial image mask of unchanged content in the last image. A diagnostic module or data processor determines a mask area of the initial image mask or a revised image mask derived from the initial image mask. A diagnostic module or data processor generates an alert data message to inspect or clean the imaging system if the mask area exceeds a threshold area.